Yi Fu

1.2k total citations · 1 hit paper
11 papers, 558 citations indexed

About

Yi Fu is a scholar working on Molecular Biology, Clinical Biochemistry and Cell Biology. According to data from OpenAlex, Yi Fu has authored 11 papers receiving a total of 558 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 2 papers in Clinical Biochemistry and 2 papers in Cell Biology. Recurrent topics in Yi Fu's work include Mitochondrial Function and Pathology (3 papers), RNA modifications and cancer (2 papers) and Metabolism and Genetic Disorders (2 papers). Yi Fu is often cited by papers focused on Mitochondrial Function and Pathology (3 papers), RNA modifications and cancer (2 papers) and Metabolism and Genetic Disorders (2 papers). Yi Fu collaborates with scholars based in United States, China and Germany. Yi Fu's co-authors include Agnel Sfeir, Marco Tigano, Samuel Tremblay‐Belzile, Jane A. Skok, Pedro P. Rocha, Ramya Raviram, Vincent Luo, Yan Deng, Esteban O. Mazzoni and Emily R. Miraldi and has published in prestigious journals such as Nature, Nucleic Acids Research and Nature Communications.

In The Last Decade

Yi Fu

11 papers receiving 555 citations

Hit Papers

Nuclear sensing of breaks in mitochondrial DNA enhances i... 2021 2026 2022 2024 2021 50 100 150 200

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Yi Fu United States 9 435 156 51 50 45 11 558
Xavier Baudin France 9 336 0.8× 48 0.3× 41 0.8× 28 0.6× 82 1.8× 13 544
Linda Shearwin‐Whyatt Australia 8 485 1.1× 111 0.7× 36 0.7× 86 1.7× 82 1.8× 18 664
Kyu‐Seon Oh United States 13 524 1.2× 115 0.7× 165 3.2× 92 1.8× 30 0.7× 24 677
Xia Huang China 5 617 1.4× 104 0.7× 68 1.3× 66 1.3× 144 3.2× 10 759
Lukasz S. Borowski Poland 15 982 2.3× 275 1.8× 117 2.3× 36 0.7× 77 1.7× 21 1.1k
Laura Jiménez United States 4 352 0.8× 219 1.4× 73 1.4× 23 0.5× 51 1.1× 5 468
Sudha Swamynathan United States 15 315 0.7× 77 0.5× 47 0.9× 78 1.6× 13 0.3× 25 666
Carl A. Mitchell United States 8 282 0.6× 178 1.1× 16 0.3× 32 0.6× 26 0.6× 9 521
Eduardo Gade Gusmao Germany 12 537 1.2× 89 0.6× 62 1.2× 37 0.7× 11 0.2× 17 670
Maaike C.W. van den Berg Netherlands 9 245 0.6× 118 0.8× 44 0.9× 49 1.0× 23 0.5× 9 461

Countries citing papers authored by Yi Fu

Since Specialization
Citations

This map shows the geographic impact of Yi Fu's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Yi Fu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yi Fu more than expected).

Fields of papers citing papers by Yi Fu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Yi Fu. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Yi Fu. The network helps show where Yi Fu may publish in the future.

Co-authorship network of co-authors of Yi Fu

This figure shows the co-authorship network connecting the top 25 collaborators of Yi Fu. A scholar is included among the top collaborators of Yi Fu based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Yi Fu. Yi Fu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

11 of 11 papers shown
1.
Fu, Yi, et al.. (2024). Analysis of Singularly Perturbed Stochastic Chemical Reaction Networks Motivated by Applications to Epigenetic Cell Memory. SIAM Journal on Applied Dynamical Systems. 23(4). 2695–2731. 2 indexed citations
2.
Fu, Yi, et al.. (2023). Mitochondrial DNA breaks activate an integrated stress response to reestablish homeostasis. Molecular Cell. 83(20). 3740–3753.e9. 22 indexed citations
3.
Zhan, Daqian, Ding Ma, Shuang Wei, et al.. (2021). Monoallelic IDH1 R132H Mutation Mediates Glioma Cell Response to Anticancer Therapies via Induction of Senescence. Molecular Cancer Research. 19(11). 1878–1888. 4 indexed citations
4.
Sen, Arko, et al.. (2021). Discovering single nucleotide variants and indels from bulk and single-cell ATAC-seq. Nucleic Acids Research. 49(14). 7986–7994. 9 indexed citations
5.
Tigano, Marco, et al.. (2021). Nuclear sensing of breaks in mitochondrial DNA enhances immune surveillance. Nature. 591(7850). 477–481. 231 indexed citations breakdown →
6.
Song, Jiagui, Zeyu Cai, Xiaochun Chi, et al.. (2020). Kindlin-2 deficiency induces fatal intestinal obstruction in mice. Theranostics. 10(14). 6182–6200. 22 indexed citations
7.
Fu, Yi, Marco Tigano, & Agnel Sfeir. (2020). Safeguarding mitochondrial genomes in higher eukaryotes. Nature Structural & Molecular Biology. 27(8). 687–695. 40 indexed citations
8.
Rocha, Pedro P., Ramya Raviram, Yi Fu, et al.. (2016). A Damage-Independent Role for 53BP1 that Impacts Break Order and Igh Architecture during Class Switch Recombination. Cell Reports. 16(1). 48–55. 20 indexed citations
9.
Fu, Yi, Pedro P. Rocha, Vincent Luo, et al.. (2016). CRISPR-dCas9 and sgRNA scaffolds enable dual-colour live imaging of satellite sequences and repeat-enriched individual loci. Nature Communications. 7(1). 11707–11707. 108 indexed citations
10.
Raviram, Ramya, Pedro P. Rocha, Christian L. Müller, et al.. (2016). 4C-ker: A Method to Reproducibly Identify Genome-Wide Interactions Captured by 4C-Seq Experiments. PLoS Computational Biology. 12(3). e1004780–e1004780. 59 indexed citations
11.
Wang, Huaishan, Yingchao Xue, Jia Yang, et al.. (2016). Global Deletion of TSPO Does Not Affect the Viability and Gene Expression Profile. PLoS ONE. 11(12). e0167307–e0167307. 41 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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